MLB Betting Stats 2025 2025
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.15 | .312 | .660 | 667 |
2
|
3.17 | .287 | .633 | 602 |
3
|
3.25 | .301 | .657 | 660 |
4
|
3.41 | .301 | .676 | 622 |
5
|
3.48 | .292 | .662 | 755 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
37-39 | 926 | -59 | 985 |
2
|
43-34 | 838 | 49 | 789 |
3
|
48-30 | 781 | 673 | 108 |
4
|
42-35 | 629 | 857 | -228 |
5
|
46-30 | 526 | 103 | 423 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Aaron Judge | .367 |
2 Jacob Wilson | .353 |
3 Will Smith | .328 |
4 Jonathan Aranda | .326 |
5 Jeremy Pena | .324 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Cal Raleigh | 30 |
2 Aaron Judge | 27 |
3 Shohei Ohtani | 25 |
4 Eugenio Suarez | 25 |
5 Kyle Schwarber | 23 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Eugenio Suarez | 67 |
2 Pete Alonso | 64 |
3 Cal Raleigh | 64 |
4 Pete Crow-Armstrong | 61 |
5 Seiya Suzuki | 61 |
Top 5 Runs
#Player | R |
---|---|
1 Shohei Ohtani | 73 |
2 Aaron Judge | 67 |
3 Elly De La Cruz | 59 |
4 Corbin Carroll | 57 |
5 Fernando Tatis Jr. | 56 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Jackson Jobe | DET | 9-1 | 826 |
2 Robbie Ray | SF | 12-3 | 779 |
3 Shane Baz | TB | 11-4 | 693 |
4 Andrew Abbott | CIN | 9-3 | 624 |
5 Griffin Canning | NYM | 11-4 | 608 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Sonny Gray | STL | 11-4 | 73.3 |
2 Kevin Gausman | TOR | 11-4 | 73.3 |
3 Yusei Kikuchi | LAA | 11-5 | 68.8 |
4 Spencer Schwellenbach | ATL | 10-4 | 71.4 |
5 Luis Severino | ATH | 10-5 | 66.7 |
Top 5 Wins
#Player | Wins |
---|---|
1 Max Fried | 9 |
2 Carlos Rodon | 9 |
3 Robbie Ray | 8 |
4 Framber Valdez | 8 |
5 Hunter Brown | 8 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Paul Skenes | 1.85 |
2 Hunter Brown | 1.88 |
3 Max Fried | 2.05 |
4 Tarik Skubal | 2.06 |
5 Kris Bubic | 2.12 |
Top 5 Saves
#Player | SV |
---|---|
1 Carlos Estevez | 22 |
2 Robert Suarez | 21 |
3 Kyle Finnegan | 18 |
4 Andres Munoz | 18 |
5 Josh Hader | 18 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 Garrett Crochet | 125 |
2 MacKenzie Gore | 123 |
3 Zack Wheeler | 118 |
4 Tarik Skubal | 117 |
5 Logan Webb | 114 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Paul Clemons | 12-2 | 85.7 | 841 |
2 Nestor Ceja | 12-3 | 80.0 | 826 |
3 Stu Scheurwater | 12-3 | 80.0 | 467 |
4 Tripp Gibson | 11-3 | 78.6 | 790 |
5 Quinn Wolcott | 11-5 | 68.8 | 357 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Tom Hanahan | 11-3 | 78.6 | 10.8 |
2 Lance Barrett | 10-3 | 76.9 | 10.6 |
3 Clint Vondrak | 10-5 | 66.7 | 12.1 |
4 Quinn Wolcott | 10-5 | 66.7 | 9.8 |
5 Andy Fletcher | 10-7 | 58.8 | 10.2 |
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.17 | .287 | .633 | 602 |
2
|
3.41 | .301 | .676 | 622 |
3
|
3.48 | .292 | .662 | 755 |
4
|
3.50 | .292 | .648 | 705 |
5
|
3.51 | .301 | .677 | 660 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
37-39 | 926 | -59 | 985 |
2
|
43-34 | 838 | 49 | 789 |
3
|
48-30 | 781 | 673 | 108 |
4
|
44-33 | 490 | 898 | -408 |
5
|
41-35 | 449 | 525 | -76 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Aaron Judge | .367 |
2 Jacob Wilson | .353 |
3 Jonathan Aranda | .326 |
4 Jeremy Pena | .324 |
5 Jose Ramirez | .324 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Cal Raleigh | 30 |
2 Aaron Judge | 27 |
3 Taylor Ward | 19 |
4 Junior Caminero | 18 |
5 Riley Greene | 17 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Cal Raleigh | 64 |
2 Aaron Judge | 61 |
3 Riley Greene | 59 |
4 Taylor Ward | 52 |
5 Junior Caminero | 49 |
Top 5 Runs
#Player | R |
---|---|
1 Aaron Judge | 67 |
2 Cal Raleigh | 52 |
3 Brent Rooker | 48 |
4 Paul Goldschmidt | 47 |
5 Brandon Lowe | 46 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Jackson Jobe | DET | 9-1 | 826 |
2 Shane Baz | TB | 11-4 | 693 |
3 Ben Lively | CLE | 7-2 | 574 |
4 Hunter Dobbins | BOS | 7-3 | 503 |
5 Tomoyuki Sugano | BAL | 9-6 | 431 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Kevin Gausman | TOR | 11-4 | 73.3 |
2 Yusei Kikuchi | LAA | 11-5 | 68.8 |
3 Luis Severino | ATH | 10-5 | 66.7 |
4 Taj Bradley | TB | 9-4 | 69.2 |
5 JP Sears | ATH | 9-5 | 64.3 |
Top 5 Wins
#Player | Wins |
---|---|
1 Max Fried | 9 |
2 Carlos Rodon | 9 |
3 Framber Valdez | 8 |
4 Hunter Brown | 8 |
5 Tarik Skubal | 8 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Hunter Brown | 1.88 |
2 Max Fried | 2.05 |
3 Tarik Skubal | 2.06 |
4 Kris Bubic | 2.12 |
5 Garrett Crochet | 2.20 |
Top 5 Saves
#Player | SV |
---|---|
1 Carlos Estevez | 22 |
2 Andres Munoz | 18 |
3 Josh Hader | 18 |
4 Jeff Hoffman | 17 |
5 Emmanuel Clase | 17 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 Garrett Crochet | 125 |
2 Tarik Skubal | 117 |
3 Carlos Rodon | 114 |
4 Hunter Brown | 109 |
5 Framber Valdez | 99 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Nestor Ceja | 9-0 | 100.0 | 818 |
2 Paul Clemons | 8-1 | 88.9 | 748 |
3 Quinn Wolcott | 8-3 | 72.7 | 649 |
4 Doug Eddings | 7-2 | 77.8 | 585 |
5 Marvin Hudson | 7-2 | 77.8 | 509 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Quinn Wolcott | 7-4 | 63.6 | 9.9 |
2 Edwin Moscoso | 6-1 | 85.7 | 10.1 |
3 Lance Barksdale | 6-2 | 75.0 | 11.2 |
4 Brian Walsh | 6-3 | 66.7 | 11.1 |
5 Mike Muchlinski | 6-3 | 66.7 | 10.2 |
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.15 | .312 | .660 | 667 |
2
|
3.25 | .301 | .657 | 660 |
3
|
3.60 | .303 | .669 | 659 |
4
|
3.65 | .306 | .689 | 683 |
5
|
3.70 | .309 | .705 | 592 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
42-35 | 629 | 857 | -228 |
2
|
46-30 | 526 | 103 | 423 |
3
|
42-35 | 448 | 469 | -21 |
4
|
41-35 | 420 | 317 | 103 |
5
|
43-34 | 319 | 394 | -75 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Will Smith | .328 |
2 Freddie Freeman | .322 |
3 Brendan Donovan | .312 |
4 Manny Machado | .309 |
5 Josh Naylor | .302 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Shohei Ohtani | 25 |
2 Eugenio Suarez | 25 |
3 Kyle Schwarber | 23 |
4 James Wood | 21 |
5 Pete Crow-Armstrong | 21 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Eugenio Suarez | 67 |
2 Pete Alonso | 64 |
3 Pete Crow-Armstrong | 61 |
4 Seiya Suzuki | 61 |
5 James Wood | 57 |
Top 5 Runs
#Player | R |
---|---|
1 Shohei Ohtani | 73 |
2 Elly De La Cruz | 59 |
3 Corbin Carroll | 57 |
4 Fernando Tatis Jr. | 56 |
5 Pete Crow-Armstrong | 56 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Robbie Ray | SF | 12-3 | 779 |
2 Andrew Abbott | CIN | 9-3 | 624 |
3 Griffin Canning | NYM | 11-4 | 608 |
4 Sonny Gray | STL | 12-3 | 595 |
5 Cal Quantrill | MIA | 7-7 | 575 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Sonny Gray | STL | 11-4 | 73.3 |
2 Spencer Schwellenbach | ATL | 10-4 | 71.4 |
3 Tylor Megill | NYM | 9-5 | 64.3 |
4 German Marquez | COL | 9-6 | 60.0 |
5 Jake Irvin | WAS | 9-6 | 60.0 |
Top 5 Wins
#Player | Wins |
---|---|
1 Robbie Ray | 8 |
2 Merrill Kelly | 7 |
3 Logan Webb | 7 |
4 Nick Pivetta | 7 |
5 Clay Holmes | 7 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Paul Skenes | 1.85 |
2 Logan Webb | 2.49 |
3 Chris Sale | 2.52 |
4 David Peterson | 2.60 |
5 Zack Wheeler | 2.61 |
Top 5 Saves
#Player | SV |
---|---|
1 Robert Suarez | 21 |
2 Kyle Finnegan | 18 |
3 Emilio Pagan | 17 |
4 Trevor Megill | 16 |
5 Tanner Scott | 15 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 MacKenzie Gore | 123 |
2 Zack Wheeler | 118 |
3 Logan Webb | 114 |
4 Chris Sale | 114 |
5 Dylan Cease | 109 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Stu Scheurwater | 9-1 | 90.0 | 577 |
2 Charlie Ramos | 8-2 | 80.0 | 628 |
3 John Tumpane | 8-2 | 80.0 | 570 |
4 CB Bucknor | 6-1 | 85.7 | 493 |
5 Bill Miller | 6-2 | 75.0 | 480 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Clint Vondrak | 8-4 | 66.7 | 12.5 |
2 Bill Miller | 6-2 | 75.0 | 10.8 |
3 Vic Carapazza | 6-3 | 66.7 | 10.7 |
4 Chris Guccione | 6-3 | 66.7 | 10.0 |
5 Tom Hanahan | 6-3 | 66.7 | 10.0 |
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Pages Related to This Topic
What are MLB betting stats? π
MLB betting stats offer deep insights into how teams perform not just on the diamond β but in relation to oddsmakersβ expectations. With a 162-game season and daily betting opportunities, knowing how to use metrics like ATS, O/U, and situational splits can be the difference between blind betting and sharp strategy.
Hereβs a breakdown of the key stats on this page and how to use them for more profitable baseball betting.
ATS (Against the Spread / Runline)
What it means: In MLB, ATS typically refers to runline betting β where a team must win by 2+ runs (β1.5) or lose/win by fewer than 2 runs (+1.5).
How to use it: A team like the Rays could be 60-45 ATS, indicating theyβve consistently beaten the runline. Underdogs that win outright or keep games close often offer ATS value.
π Runline stats are essential when deciding whether to bet a favorite straight up or lay the β1.5.
π Use the latest MLB odds to compare runline prices and spot market inefficiencies.
O/U (Over/Under Totals)
What it means: Tracks how often games go Over or Under the posted total runs.
How to use it: Team tendencies β like high-powered lineups or unreliable bullpens β directly influence totals. If the Rockies are 68-40 to the Over, it often signals offensive firepower or Coors Field factor.
π Factor in ballpark effects, pitching matchups, and weather when betting totals.
π Learn more with our MLB betting guide.
SU (Straight-Up)
What it means: Outright win-loss records.
How to use it: Great for evaluating moneyline betting opportunities. Teams might be profitable SU without being elite β especially with plus-money value. For example, the Orioles may be 55-50 SU but +10 units due to frequent underdog wins.
π Use SU stats alongside profit/loss metrics to gauge value beyond win totals.
Home/Away Splits
What it means: Tracks performance based on location.
How to use it: Some teams dominate at home but collapse on the road. If the Padres are 35-20 ATS at home but 20-40 away, location should strongly influence your wager.
π Ballpark familiarity, travel, and lineup depth often shift performance drastically between venues.
Division/League Records
What it means: Shows how teams fare against divisional or league opponents.
How to use it: Divisional matchups are common and often tight. A team with a strong ATS record vs. its division may be particularly effective at exploiting familiar opponents.
π Use this when betting series between rivals or when playoff races heat up late in the season.
How to boost your MLB betting success π
Betting on baseball becomes more rewarding when you pair your insights with the best promo codes. Bonuses can help smooth out cold streaks and capitalize on your winning reads.
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Baseball is a grind β but with the right stats and bonus strategy, your bets can go the distance.